This demo-heavy session will showcase the great capabilities of SQL Server 2019 including data integration and insights, performance, and security to allow you to work with and manage big data environments by integrating deeply with Hadoop HDFS and Spark.
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Learn about the full range of the project, from the ideas behind it, through getting started, the performance and finally on common patterns where C# and F# can be highly effectively used in Spark today.
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ome see how Azure Databricks is the perfect tool to handle data engineering as part of the modern data warehouse pattern and how it integrates with Azure Data Factory, Azure Data Lake Store, SQL Data Warehouse, and Power BI.
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The new .NET Standard 2.0 definition is implemented by .NET Core, Xamarin, full .NET, and UWP, and this means we have a much simpler and more direct way to share and reuse code across all platforms.
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In this talk, Ben will walk you through creating an automated DevOps flow using Azure DevOps Server (aka. TFS2019) or Azure DevOps that will allow you to build, test, and deploy your ASP.NET Core & EF Core application.
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Ben will show you how to address four of the main pieces of running a Scrum project using TFS: Stakeholder Interaction, Planning & Execution, Testing, and streamlining the Definition of Done (DoD).
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This all-day workshop is broken into five parts where you'll start with nothing and end with an ASP.NET Core app with a SQL Server database running in Azure using both Azure App Service with SQL Database as well as an Azure AKS deployment with Kubernetes. In both case it will be done with a full continuous integration/continuous deployment (CI/CD) pipeline managed by Azure DevOps.
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See how to call async methods from synchronous code, how to wait for async void, how to implement custom synchronization context or task scheduler to handle exceptions, and how to run task without allocation at all.
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This all-day workshop is broken into five parts where you'll start with nothing and end with an ASP.NET Core app with a SQL Server database running in Azure using both Azure App Service with SQL Database as well as an Azure AKS deployment with Kubernetes. In both case it will be done with a full continuous integration/continuous deployment (CI/CD) pipeline managed by Azure DevOps.
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